{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "本章节目标\n",
    "* 简单的线图\n",
    "* 调整绘图: 线条 颜色 和 风格\n",
    "* 调整绘图: 轴边界限制\n",
    "* 绘制图标标签\n",
    "* matplotlib 中plt函数和ax 转化\n",
    "* 分析年度乘客总量变化情况"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 简单的线图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "也许所有绘图中最简单的是单个函数$y = f(x)$的可视化。在这里，我们将首先了解如何创建这种类型的简单绘图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt # 导入matplotlib 的库\n",
    "import numpy as np # 导入数值计算库\n",
    "# 初始化数据\n",
    "x = np.linspace(0, 10, 1000)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "选择绘图风格"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Solarize_Light2',\n",
       " '_classic_test_patch',\n",
       " 'bmh',\n",
       " 'classic',\n",
       " 'dark_background',\n",
       " 'fast',\n",
       " 'fivethirtyeight',\n",
       " 'ggplot',\n",
       " 'grayscale',\n",
       " 'seaborn',\n",
       " 'seaborn-bright',\n",
       " 'seaborn-colorblind',\n",
       " 'seaborn-dark',\n",
       " 'seaborn-dark-palette',\n",
       " 'seaborn-darkgrid',\n",
       " 'seaborn-deep',\n",
       " 'seaborn-muted',\n",
       " 'seaborn-notebook',\n",
       " 'seaborn-paper',\n",
       " 'seaborn-pastel',\n",
       " 'seaborn-poster',\n",
       " 'seaborn-talk',\n",
       " 'seaborn-ticks',\n",
       " 'seaborn-white',\n",
       " 'seaborn-whitegrid',\n",
       " 'tableau-colorblind10']"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.style.available\n",
    "# plt.style.use('seaborn-whitegrid')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 题1 - 创建一个 figure 和 axes对象子图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在matplotlib中\n",
    "1. 图形（plt.figure类的一个实例）可以看作是一个单独的容器，其中包含表示轴、图形、文本和标签的所有对象。\n",
    "2. 轴（类plt.axes的一个实例）一个带有刻度和标签的边界框，它最终将包含构成我们可视化的绘图元素。\n",
    "\n",
    "变量名fig来引用一个图实例，ax来引用一个轴实例或一组轴实例。"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####  题2 -  创建轴后，使用ax.plot函数绘制一个简单的正弦曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 题3 - 使用plt的接口，直接创建图形和轴绘制正弦曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 题4 - 使用plot函数在一个图中，创建多条曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 调整绘图: 线条 颜色 和 风格"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "控制线条颜色和样式。plt.plot()函数接受可用于指定这些参数。要调整颜色，可以使用color关键字，它接受一个字符串参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x - 0), color='blue')        # specify color by name\n",
    "plt.plot(x, np.sin(x - 1), color='g')           # short color code (rgbcmyk)\n",
    "plt.plot(x, np.sin(x - 2), color='0.75')        # Grayscale between 0 and 1\n",
    "plt.plot(x, np.sin(x - 3), color='#FFDD44')     # Hex code (RRGGBB from 00 to FF)\n",
    "plt.plot(x, np.sin(x - 4), color=(1.0,0.2,0.3)) # RGB tuple, values 0 to 1\n",
    "plt.plot(x, np.sin(x - 5), color='chartreuse'); # all HTML color names supported"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "图形中线条的风格可以通过  linestyle  来指定"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, x + 0, linestyle='solid')\n",
    "plt.plot(x, x + 1, linestyle='dashed')\n",
    "plt.plot(x, x + 2, linestyle='dashdot')\n",
    "plt.plot(x, x + 3, linestyle='dotted');\n",
    "\n",
    "# For short, you can use the following codes:\n",
    "plt.plot(x, x + 4, linestyle='-')  # solid\n",
    "plt.plot(x, x + 5, linestyle='--') # dashed\n",
    "plt.plot(x, x + 6, linestyle='-.') # dashdot\n",
    "plt.plot(x, x + 7, linestyle=':');  # dotted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 调整绘图: 轴边界限制\n",
    "\n",
    "Matplotlib 方便数据的控制，通过 axis  ``plt.xlim()`` and ``plt.ylim()`` 方式限制数据边界"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2340ff1d640>]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(0, 10, 1000)\n",
    "plt.plot(x,np.sin(x))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 题5 - 将上述绘图设置边界限制"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 绘制图标标签\n",
    "\n",
    "#### 题6 - 添加绘图的标签：标题、轴标签和图例。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 题7 - 对多条曲线添加图例\n",
    "\n",
    "- plt.plot(x, np.sin(x), '-g', label='sin(x)')\n",
    "- plt.plot(x, np.cos(x), ':b', label='cos(x)')\n",
    "- plt.axis('equal')#将横轴纵轴的定标系数设成相同值\n",
    "\n",
    "备注：-g是一个字符串，指定了绘制的曲线的颜色和样式。其中，-表示实线，g表示绿色，这两个字符之间没有空格。实线和绿色都是matplotlib中预定义的一些选项；"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Dqk2sJtvObTO7JJdjcP/FknXRUuXJBYLPIT0W9pArKZr89onRApkdPlv8x/pLidElZHb4bLNLKpIOHhSpWlVkn+vP2zlVSkaKDFs9TND+I/FvuEn2nT9sdkl22XNhz81unf/b8H+Fuu+bwX2bdafWSZkvy4jfGD+ZFTZLIiNt0rOnyMWLZldmnwvxF6Tt7LYCC+TllS/L9YzrZpdU6MXEiMyde2s7Q7PMOHn1pNSbUk+URUm7V1fICwOy3DLaxdmS05Nl+JrhAgukxYwWciH+gtkluQSDW0SsNqt8vu1zURYlDaY2uHmSb8MGkYoVRX77zeQCHZBpzZSPt3wssEAaTG1QYE4qFVbvvCNSvLjI5ctmV2K/kGMhUnJMSQn4KkA2nt4oIrdOVEZFiUyZ4p4hi8606LdF4jfGTwK+CpD1v683uxynK/LBHXs9VjrP6yywQF5c/qKkZKT86f7U1Fu3Q0P1ewOvO7VOAr4KkJJjSsqak2vMLqfQufH+SElx7LoAM2VZs+RfG/8lsECaft80xyF+n39u/EGKiHB/ffl18upJqT+lviiLki92fFHgz1PZo0gH96mrp6Tm5JriM8pHpu2blud/7K5dxr/IDz+4rz5nuRB/QRpNayTKomT8L+ML1RvYTO+9J9KypTGkVDeJaYnSdX5XgQXy2prXcj0BabX++RPn7Q0ZHaRkpEj/kP4CC6R/SH9JzdTsBeSiyAb39nPb5d6v7pWy/y4ru8/vvuPjrVaRadNE0gr2CfZcJacnS69FvQQWyEsrXuIVl06weLHRRaJbf/b5+PPSYGoD8RzhKVP3Tb3r/VasMIYNnip4o2LzZLPZZPTO0QILpPmM5nIp6ZLZJeVbkQzu2eGzxXukt9T5po6cjj1t9/7Xr4u88IL9lwybzWqzyidbPrk5ZPDa9Wtml6SdqCiRbdvMrsJxeyP3SsVxFcV/rL9sOL3Brn3DwkR69jTe/zoKORYixUcXlyoTqsjhaL1GzPxVkQpum80mn279VGCBtJ/T3uHgOnxYpGxZowWio/mH54vPKB+p+21duZig2ZAZk3XvLlKpkp7htfLESin2RTGpNrGa/HY5f2fc09JE1mh4yiTsjzC5b/x9UmpsKdkZsdPschxWZII7y5olr65+VWCBDF4xON9jPBMSbt2+pmHDdcvZLVJyTEmpMqGKHIs5ZnY52oiK0u8kpIjID+E/iOcIT3l0+qNyOTn/Q1++/FJEKT1HXEXERUjtr2vLPaPukeXHl5tdjkOKRHCnZaZJ78W9BRbIB5s+cOrJubAwkVKl9Gx9h18Kl4rjKkqZL8vIngt7zC6nwNq0yZiUTNdzuuP2jBNYIB1/7ChJ6UlOec70dD1b3DdcTbkqzWc0F48RHjJt3zSzy7FbXsFdKGbrT85IxlMLnsKSY0swruM4jO0wNtfVeRzx4INAr15As2ZOe0q3aVixIX556RcEFA9Ahx87YO2ptWaXVCDt2gVs22asc6oTEcGHmz/Eu5veRe+He2N139Xw83HOmmY+PrcWezh8GBg2DMjMdMpTu0VA8QBsHrAZTz74JIatHYaRO0YardXCILdEd9aXq1vcV1OuStPvm4rHCA+ZFTbLpccSMVpka9bo1zK7nHxZmnzXRLxGesmSo0vMLqfAuDFaxGYzJmLSSZY1S15Z+YrAAhm2ephkWbNcdqyvvxapXFkkMtJlh3CZjKwMeXH5iwIL5N0N72ozVBaFtavkUtIlqfttXbf2Yy1aZPyrrV3rlsM5VXxqvLSa2Uo8RnjI3ENz77xDIRcSIlK7tn7THYgYYfTckucEFsinWz91SxjFxxvfbTb9xrVbbVZ5fe3rAgtk+JrhWsyuWSiDOyoxSmp/XVuKjy4uW89udckxcmK1GuGtyR/tv0lKT5L2c9qLsij5bv93Zpdjqr17RZ588lYg6SI9K116LOwhsEDG7Rnn9uOPHm1clKTbJxSbzXbzKtKXVrzk0k8ozlDogjsyIVJqTq4pJUaXMHW4T1SUyKefGmGuk+sZ129OUD/x14lml+N2uo3Nv11aZpp0X9BdYIFMCp1kSg1LlogMHqzf+17ECO/Pt30usED6Lu1boGcXLFTBfSH+gjww6QEpOabkXV0N6Upff22sa3n8uKllOCQ9K116LuopsEDG7Bxjdjlus3atiKenyHoN5yRKzUy9+Qf3273fml2OiBjDZHWZk/x2X+76UmCBPLPwmQI7F3mhCe6IuAipPrG6+I/1l18v/uq0582P8+Ysy+cUmdbMm3M8fLb1M21O2uRHSorIJ5/od3HN9Yzr0mluJ4EFBaaLy2YTad1a5NFH9Wx9Tw6dLLBAuszvUiDnNykUwX322lmp+t+qUvrL0rI3cq9TntOZFi40LpG/04LEBU2WNUsGrxgssEA+3PxhoQ3vZcv0mzzphpSMFHl8zuOiLMotI6fssWmT3mO9p++fLsqipOOPHf82a6jZ8gpuLcZxn7l2BsGzg5GYnogtA7fg0fsfNbukv7l4ETh/HkhPN7sS+3h6eGJG9xl4tcmrGLt7LN7d+K7xF70Q+e03Yxz+5MlmV2K/5IxkdP2pK7ZFbMOcZ+ZgcKPBZpf0Jx063BrrvX07EBNjajl2G9JkCGY9PQubz25Gt5+6ISUjxeyS7k5uie6sr/y2uE9dPSX3j79fAr4KkPBL4fl6Lle7MSY4PV2/4VI2m03eXPemwAJ5Y+0bha7lvXGjfjP8JaYlSutZrcVjhIfMPzzf7HLylJgocu+9In37ml2JY+YdmiceIzyk9azWBWYxYuTR4vZyNPCVUjMBPAxgrYh84bS/JLc5efUk2s1phyxbFra9uA31K9R3xWGcxtsbEAGefx6w2YBlywAPLT7TAEopTOo8Cd4e3pgQOgGZtkxM6ToFHkqTF/AXIsBXXwGdOwMNGwIdO5pdkX0S0xPReV5n7I3ai4W9FqJ33d5ml5SnkiWBNWuAWrXMrsQx/Rv0h7enN/qF9EOneZ2wvv96lPItZXZZuXIouJVSPQF4ikgLpdQspVRNEfndmYUdu3IM7ee0h0Cw7cVtqFu+rjOf3mWUMj4+ZmXpE9o3KKUwrtM43ON1D8buHosMawa+f+p7eHp4ml2a3eLjgalTjY/uDRuaXY19EtIS8MS8J3Dg0gEs7r0YPR/qaXZJd6VFC+O7zQaMGGFcIl+pkrk12eO5us/B28MbfZb2QYe5HbDxhY0oU6yM2WXlLLemeF5fACYD6JJ9+3kAg/9y/1AA+wHsDwwMdOhjwtazW6XGpBraz2p36pR+J8VuH+vaP6S/ZFr1OeN6ew/PpUv6jXaIS42Tpt83Fa+RXtrOanf8uEiJEsZwWR2tPrlafEb5SMNpDeVKinljHeHsUSUAZgJ4JPt2JwAf5PbY/PRx676CS2KisRDxwIFmV+KYGyuK9FnSp0BfqHCDzSbyxhsiI0aYXYljrl2/JkHTg8R7pLesOL7C7HLyJSJC36uLRUTW/75efL/wlfpT6jtlilxH5BXcjn6YTwZQLPu2H+Ca0Sk+nj6ueFq3KVkSGD8e+OgjsytxzEePfYT/dPwPFh1dhD5L+yDDmmF2SXkSAZKSjBn+dBsYE5cah45zO+Lw5cMIeS4ET9d52uyS8qVqVaPbMCICePxx4MIFsyuyzxMPPoE1fdfg9LXTaDu7LS4lXTK7pD9xNHAPAGidffsRABFOqaYQ6tcPqF3buP3TT0Bysrn12Ovdlu9iUudJWH5iOXot7oX0rII33tFqBRISjHMKs2YB//mPERq6uJZ6DR3mdsCRmCNY9twyPFX7KbNLcporV4CzZ4HYWLMrsd/jNR7Hz/1/xoWECwieHYzIxEizS7rJ0eBeAWCAUmoCgOcAcJLnOzhxAhg4UM+xxG81ewtTu07FmlNr8PTCp5GamWp2SX/y6qtAu3ZAWpoR3jqFduz1WDz+4+M4GnMUK/qsQNdaXc0uyakefRQ4dQpo1MjYTtFkmPQNwdWCseGFDYhOjkbw7GCcjz9vdkkAHAxuEUkE0BZAKIB2IpLgzKIKozp1jAsU3nvP7EocMyxoGGZ2n4mNZzai24KCdaFCr15Anz6Ar6/Zldjn6vWrePzHx3H8ynGseH4Fnqz5pNkluYS3t/F97lzj9yAiwtRy7NYqsBU2DdiE2OuxCJ4djHNx58wuyfG+aRGJE5HFIhLtzIIKs9atAS8v42P9a68Z33XyUqOXMOeZOdgesR1dfuqCpPQk02pJSwNCQ43bTz4JvP++aaU45ErKFTz+4+M4GXsSq/quQucHO5tdkss1bAi0bQtUrGh2JfZrVrkZtgzcgqSMJLSZ3Qanr502tR7NRhoXDgcOAD/+aHzXzYBHBmB+z/nYc2EPOs/vjIQ0c/76fPgh0L49cKlgnTO6K1GJUWgzuw1OxZ7CqudXodMDncwuyS3q1zda3b6+QGqq0YWikyb3NcHWgVuRlpWGNj+0wYmrJ0yrhcFtgvbtjY+L7dsb27qNgHi+3vNY9Owi7I3ai07zOiEuNc7tNXzyCTBvnl4XeADA2bizeOyHxxCVGIUNL2xAxwc0u6TTSV57DXjsMf3W+Hyk4iPY/uJ22MSG4NnB+C3mN1PqYHCbpFw54/vWrUDLlkC0Zh1OvR7uhZDnQhB+KRwd5nZA7HXXDxuIiwNGjzauzAsIAHrqcUHhTcevHMdjPzyG+LR4bBm4BW2qtjG7JNN88gnw3/8C/v5mV2K/uuXrYvug7fBUnmg3px0ORR9yew0MbpNZrUYQ3TiBo5Putbtj5fMrcTTmKNr/2B4xKa6dGm7pUmDkSOCQ+39P8i38UjjazG4Dq82KHYN2FMgZLt3pwQeNobIA8L//ARs3mluPveqUrYMdg3bA18sX7ea0w4E/3NvvqcTFn9ODgoJk//79Lj2G7kSMIWw2mzE1bPXqZldkn81nN6P7gu6oXqY6tgzcgop+zj37dOPfRwQ4fRqoWdOpT+9yey7sQdefuqKUbylsHrAZNQM0ewEu1qEDEBUFHDlinLzXybm4c2g3px3i0+Kx4YUNaFa5mdOeWyl1QESCcrqPLe4C4Ma44xEjjPGuFy+aW4+9OtTogHX91+F8/HkEzw7GhQTnXSYXFgY0aWL8QVNKv9Befnw5OsztgAp+FbBr8C6Gdg6WLgV+/tkIbd3O91QvUx07Bu1AQPEAdJzbEdvObXPLcRncBcjLLxt9f5Urm12J/dpWa4v1L6zH5eTLaDajGcIuhTnleW9MlavbAhUA8M3eb9BrcS80rNgQe17ag8BSgWaXVCCVLg1Uq2bc/vhjwGLRK8Crlq6KnYN2okqpKnhi3hOYd3iey4/J4C5AAgOBd981WpbnzhnTkur0Bm4d2Bp7XtoDH08ftPmhDdb9vs7h5/ot+2R9/fpGq1uneZ5tYsP7m97Hmz+/ie61u2PLwC0oW7ys2WUVeDabcZJetxP1AHC///3Y89IetApshQHLB2D0ztGuXUkqt9mnnPXl7FXei4r/+z+R0qWNqUl180fiH9L4u8biMcJDpu2bZvf+y5cb81bquBL79Yzr0ndpX4EF8tqa1yTLmmV2SVqx2W6t2xoZqd8K8mmZaTcX4H5l5Sv5mlUThWGx4KLGahU5efLWtm5LoSWlJ0mX+V0EFsg769+xa07v9HSRf/9bv9d8MeGiNPmuiSiLkrG7xha65d/cyWYTadZMpHFj/eZUt9ls8vGWj28uA+goBrfmfvhBpG5dkT/+MLsS+2RaM2+uY9l+TnuJSY7J9bEXLogMHiySUrAW2r5rv1z4RSr8p4L4jfGTVSdWmV1OofDLL8ZaobqaHT5bIuIiHN4/r+BmH7cGAgOBhx++ddGOLrw8vDD5ycmY/fRs7LmwB0HfB+V60vLoUSAkxPiuExHBzLCZaDunLfx8/BD6cmihmpbVTC1a3FordN484PPPjesedPFiwxdRtXRVlzw3g1sD7dsDixcbw6WSkoxFcLOyzK7q7r3Y8EXsfmk3RAStZrXCjLAZEBFYrcaJR8BY1PfcOWMaUF0kpSdh4IqBeGX1K2hTtQ32Dtmrzdqouvn1V2N2TZ1O1rsSL8DRzOzZxrDBvXuN8c06iUmJQb+Qfthybgt6PdQLVfbNxbRviuHkSeNThU4ORR/Cc0ufw+lrp2EJtuCjxz7SclFlXYgYE1MVL27MbxIWZsw0WJjxApxCZNAg45LvG6F95Ig+rZDyJcpjwwsbMabNeKw6uQoL/Vrg7dHHtArtLFsWvtr9FZrNaIbkjGRsHbgVnwZ/ytB2MaWM0AaAsWONLhTdlkNzJga3hurVM76fOGEE+KRJ5tZzt0SAFwd64MC3/8QvL/0K/4BUfJlUF8PXDjdtelh7HI05ipYzW+KDLR+ga62uOPjqQQRXCza7rCLn00+BFStufUqLLDgrirkNg1tjtWoZixH3729sx8YCmZnm1pSTG58IlDIu6Q8KAhpXaoKwoWF4p/k7+O7Ad3jo24cQcizEtRctOCglIwWfbfsMjac3xrn4c1j07CIs7b0U5Upodra4kCheHOiavcLbkSNAjRrGPN9FSm7DTZz1xeGA7mGziXTpIvLYY8btguL8eZGgIJGdO3N/zL6ofdJwWkOBBdLxx44SfincbfXlxWazyYIjC6TyhMoCC6RfSD+5nHzZ7LLoNklJIh99JHL1qrF9+bJIhuPXvDhVfn8PweGAhZ9SwNChwIABtyatMnNoXWr2esJls6/0zmt1+6D7grBvyD5MfGIiDlw6gMbfNcbA5QNx5toZ1xeaAxHB2lNr0XRGU/QN6Ytyxcth1+BdmN9zPsqXKG9KTZQzPz9jjvaAAGN70CBjgQazP7iNGQM884zrnp/BXYg8/TQwZIhxe+tWoy985Ur31/HOO7d+eYoXN0bAPHmHdXC9PLzwj+b/wJm3zuC9Vu9hybElqPVNLfRZ2gf7/3DPqKRMayaWHF2CpjOaotuCboi9HouZ3Wdi35B9aB3Y2i01UP689hrwxhu3pgFeuBC4ft09xz5+/FZX5X33ARUquLDrMremuLO+2FVijqQkkfHjb12J+PPPImPHuuYy8suXRSZNEklLM7bnzxexWPJ3rD8S/5APNn0gpcaWElggzWc0l2n7pklcapxTar7diSsn5NOtn0qlcZUEFkiNSTVkZtjMfM0zQeYLDTWuDZ8xw9jOynJdN+KePcaxFi1y3nMij64Su8dxK6UqAFgqIo/dzeM5jrtgeP11Y5WRU6eM1sj69caVmI6MBbfZgIMHjVZFxYrGXMpdugCbNwOPP+7cuhPTEzEzbCZmhs/E0StHcY/nPWhbrS261OyCJx54AjUDasJD2ffBMS0rDf+L/B+2RWzDsuPLcCTmCBQUOj/YGa8/+jo6P9iZw/sKARFg927jZHixYsYJzNGjgZ07gfL57PGyWo0VfFq1At56y/id+Ppr42fOusI5r3HcdgW3UqoMgAUAyotI47vZh8FdcCQnG32CAFCnDvDAA8Datcb26NFG18rTTxvb27YB999vjFyxWoEJE4xLkFu3NsbPVq1qrBn49tvGx8EzZ4zndBURQdilMMw/Mh9rf1+LU7HGEuGl7imFxpUao175eqjiXwVVSlWB/z3+8PH0gafyREJ6AuJS43Ap+RJOxp7EiasncCj6ENKt6VBQaFmlJXo/3Bs9H+qJKqWquO4FkOnWrwe+/95YuEEp4LPPgA0bgNBQY3v3biAlBXjiCePxYWFAQgLQrp2x/corxtXL06YZ2927G8H9/vuuqdeZwe0PQAFYKSJt72YfBnfBdOWKsfhurVpGyyQwEOjRA5g82bi/ZEmjv3zCBOP+YsWMvsNx44z7ly0zQjy/LRdHnb52GtvObcOBSwdw4NIBnLx6EkkZSXnuU9m/MuqUrYNHKjyC4KrBaB3YGmWKlXFTxVTQTJ8OHDsGTJxobPfoYSyNd+SIsd29u7EaVXi4sf3BB4CHh3Hi0R0cDm6l1HcAat/2o60iMlIptT2v4FZKDQUwFAACAwObnD9/3qHCyb2sVsAzu4fg11+Nkys1ahjbyclAiRK3RqwURInpibiYcBEpmSnIsGYgy5YF/3v8Uca3DMqVKAc/Hz+zS6QCLDrauJz+xqIdx48bvw9mLeLhtBb3bU+YZ3Dfji1uIiL7ca4SIqJChMFNRKQZh4L7brtJiIjI+djiJiLSDIObiEgzDG4iIs0wuImINMPgJiLSDIObiEgzDG4iIs0wuImINMPgJiLSDIObiEgzDG4iIs0wuImINMPgJiLSDIObiEgzDG4iIs0wuImINMPgJiLSDIObiEgzDG4iIs0wuImINMPgJiLSDIObiEgzXvY8WClVCsBCAJ4AUgD0EZEMVxRGREQ5s7fF3R/ABBHpBCAaQGfnl0RERHmxq8UtIlNu2ywHIMa55RAR0Z3kGdxKqe8A1L7tR1tFZKRSqgWAMiISmst+QwEMBYDAwEBn1UpERACUiNi3g1L3AtgIoJeInL/T44OCgmT//v0OlkdEVDQppQ6ISFBO99nVx62U8gGwBMCHdxPaRETkfPaenHwZQGMAHyultiul+rigJiIiyoO9JyenApjqolqIiOgu8AIcIiLNMLiJiDTD4CYi0gyDm4hIMwxuIiLNMLiJiDTD4CYi0gyDm4hIMwxuIiLNMLiJiDTD4CYi0gyDm4hIMwxuIiLNMLiJiDTD4CYi0gyDm4hIMwxuIiLNMLiJiDTD4CYi0gyDm4hIMwxuIiLNMLiJiDRjd3Arpe5VSnVUSpV1RUFERJQ3u4JbKVUGwBoATQFsU0qVc0lVRESUKy87H98AwD9FJDQ7xBsD2OD8soiIKDd2tbhFZEd2aLeB0er+NafHKaWGKqX2K6X2X7lyxRl1EhFRtjxb3Eqp7wDUvu1HWwGMAtAHQByAzJz2E5HpAKYDQFBQkDilUiIiAnCH4BaRV3O563Wl1CgA3QEscnpVRESUK3tPTr6vlBqYvVkaQLyzCyIiorzZOxxwOoABSqmdADwBbHR+SURElBe7RpWISByAji6qhYiI7gKvnCQi0gyDm4hIMwxuIiLNMLiJiDTD4CYi0gyDm4hIMwxuIiLNMLiJiDTD4CYi0gyDm4hIMwxuIiLNMLiJiDSjRFy7zoFS6gqA8w7uXhbAVSeWowO+5qKBr7loyM9rrioiOa7r6/Lgzg+l1H4RCTK7Dnfiay4a+JqLBle9ZnaVEBFphsFNRKSZgh7c080uwAR8zUUDX3PR4JLXXKD7uImI6O8KeoubiIj+gsFNRKSZAhvcSqmZSqlflVKfmF2LOyilSimlflZKbVRKLVdK+Zhdk7sopSoopcLNrsOdlFJTlFJPmV2HOyilyiil1iml9iulvjO7HlfLfj/vum3b6VlWIINbKdUTgKeItABQQylV0+ya3KA/gAki0glANIDOJtfjTuMAFDO7CHdRSj0GoKKIrDa7FjcZAGB+9njmkkqpQjuWWylVBsAcACWyt12SZQUyuAG0BbA4+/ZGAK3NK8U9RGSKiGzK3iwHIMbMetxFKdUeQAqMP1aFnlLKG8D3ACKUUk+bXY+bxAKop5QqDaAKgIvmluNSVgB9ACRmb7eFC7KsoAZ3CQBR2bevAahgYi1upZRqAaCMiISaXYurZXcHfQrgA7NrcaOBAI4B+DeApkqpN02uxx12A6gK4C0Ax2H8ThdKIpIoIgm3/cglWVZQgzsZtz46+6Hg1ulUSql7AXwN4CWza3GTDwBMEZF4swtxo0YApotINIB5ANqZXI87fA5gmIiMBHACwGCT63Enl2RZQQ3EA7j1keIRABHmleIe2a3PJQA+FBFHJ+XSTQcAryultgNoqJSaYXI97nAaQI3s20FwfAI2nZQBUF8p5QmgGYCidPGIS7KsQF6Ao5TyB7ALwBYATwJo/pePH4WOUuo1AGMAHMr+0VQRWWRiSW6llNouIm3NrsPVlFIlAcyC8ZHZG8CzIhKV9156U0o1BfADjO6SXwH0EJFkc6tyrRvvZ1dlWYEMbuDm2dmOAHZmf6wkItKOK7KswAY3ERHlrKD2cRMRUS4Y3EREmmFwExFphsFNRKQZBjcRkWb+H4ePhw1VcwYyAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## matplotlib 中plt函数和ax 转化\n",
    "\n",
    "大多数plt函数直接转换为ax方法（例如``plt.plot()`` → ``ax.plot()``, ``plt.legend()`` → ``ax.legend()``等），但并非所有命令都是如此。\n",
    "\n",
    "- ``plt.xlabel()``  → ``ax.set_xlabel()``\n",
    "- ``plt.ylabel()`` → ``ax.set_ylabel()``\n",
    "- ``plt.xlim()``  → ``ax.set_xlim()``\n",
    "- ``plt.ylim()`` → ``ax.set_ylim()``\n",
    "- ``plt.title()`` → ``ax.set_title()``\n",
    "\n",
    "在面向对象的绘图界面中，使用ax.set()方法一次性设置所有这些属性通常更方便，而不是单独调用这些函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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DSZVi46DayYn848ae1Kgez40vfMPG3D1BlySVnLtzxxuzmb1mGyOv6haxJTkq2u/Oa0f/rk34478X8tbMtUd/QAxTUBzB7r2F3PRSFnsKihh9fWal2uCkSZ1kXrihJ9t3F/Czl6eTv6/qXJSTyHt60lLembWO23/Qjh90ahR0OeUmLs549LIunNyqHrePKw7CykpBcRjuzu3jZvHdulxGXtWVExvE9mny4XRsksqfLs/g21XbuHdC1ehnlcj78LsN/PHfC+nftQm3nHlC0OWUu+oJ8Tx9TXfSalbn5pemszkvP+iSKoSC4jCenrSUd2ev587z23NW+4ZBl1NhLkhvzC/7nshrWat5eUpsbCkrsWPRxh38+rWZZDSrzR8u7RL4shwVpX7N6jx3XQ+27trLz1+ZQUElHAmloDjEl4s389iHCxnQtQk3n9E66HIq3K/PbctZ7Rtw/zvzmLpsS9DlSCWRl7+Pn708nRrVE3juusxKv2Vv56bFYThteQ4j3p0XdDnlTkFxkI25e7jttW85Ma0mDw1Kr7SfgA4WH2f8ZXBXmterwa1jvmVLJT11lshxd4aMn8OKzTsZObgbjWonBV1SRPTv2pSfnt6KFyev5O1Z64Iup1wpKEL2FRZx65hv2ZlfyNPXdKdGtdgf4VRSqUmJPHV1d7btLuDXY2dRVKTrFVJ2r05bxVsz1/Hb89rR+4TKufHPkdxxfnt6tKzLPW8WB2VloaAI+fNHi5i2PIcHB3amTYyP8S6Ljk1SubdfRz5flM1zWhNKymju2u3c/848zmybVikvXh9NYnwcI6/qRnyc8csxMyrNiEIFBTBp4Sae+nQpg09qzqDuzYIuJzDXnNyCi9Ib89iHC5m+MifociTG7NhTwC9enUG9GtX485VdY3IFg/LQtE4yj12ewdy1uTz83oKgyykXEQ0KMxttZpPNbOgRfp5gZqvMbFLoll7RNW3Oy+d3r8+iXcNa/P6SThV9uKhmZjx8aTpN6yRz66vfsm3X3qBLkhhy/zvzWJ2ziyev7hZV+7ME4dyODfnRqa34x9cr+GDuhqDLOWYRCwozGwTEu3tvoLWZtTlMsy7AGHfvE7rNqcia3J273phD7u59PHFV10o/MqMkUpOKN5XPzstnyIS5ml8hJfLenPWMm76GX/Y9kcxKMvP6WN11QXvSm9bmrjdnsynGV0CI5BlFH2Bs6P6HwGmHadML6Gdm00JnH9+7omxmN5lZlpllZWdnH1NBr32zmo/mb+SO89vRvlHqMT1XZdKlWR1uO6ctE2evr3SjN6T8bczdwz3j55DRrDa3nn24z39VU7WE4lWb9xQUcvu42TH9oSuSQZEC7F8QJQc43Ey2b4Bz3L0nkAhceGgDdx/l7pnunpmWVvZtE1ds3snwd+dxygn1+dGprcr8PJXVzWe0pkfLugydMJd123YHXY5EqaIi53evzyK/oIg/X9k1phfNrAgnpNXkngs78NmibF6euirocsoskv+qecD+xedrHuHYs919feh+FlAhH0/2FRZx22szSYgz/nRFRpW96BZOQnwcj1+RQWFR8XImGjIrh/Pi5BV8sXgzQ/t1oHVazaDLiUrX9WrJ6W2O46GJ81mWnRd0OWUSyaCYzoHupgxgxWHavGRmGWYWDwwAZlVEIU99upSZq7cxYmA6jWvH1sYpkdSyfgrD+nXkqyVb+Id2xpNDLN64g0feX8DZ7Rtwdc8WQZcTtcyMP16WQbWEOH49dlZMbnYUyaCYAFxnZo8DVwDfmdmIQ9oMB14CZgKT3f2j8i5i7trtjPxkMf27NuGSjCbl/fSVzuCTmnN2+wY88sEClmzaEXQ5EiX2FRbx29dnkVI9gUcq8TpO5aVR7SRGDOjMrNXbYnL/iogFhbvnUnxBewrQ191nufvQQ9rMdfcu7p7u7kPKu4aCwiJuHzebeinVuL+KD4UtKTPjkUu7kFItntvHzaZQXVAC/P3L5cxes53h/TuRVqvyLMFfkS7OKP5wOvLjxTG3aVhErzy5+1Z3H+vugQwsfnbSUuavz2XEgM7UqVG1x3mXRlqt6vz+kk58u2obL3y1POhyJGBLNuXx+H8WcX6nRlyU3jjocmLK7y/pRO3kRO4YNzumuqCqzBCFhRt2MPKTxfTr0rhSbZ4SKZdkNOGcDg147MOFlWoNGymdwiLnjnGzqFEtnuEDOqnLqZTqpVRjeP/OzF6znb9/GTsfuqpEUOwrLOKOcbOolZSoLqcyMjNGDEgnMT6OO9+YrVFQVdQ/vl7BjFXbuO/ijjSoVTVWhS1vF6Y34gedGvL4fxaxNEZGQVWJoBj95XJmrdnO/Zd0on4l2tI00hrVTmLYRR2ZujyHV6bF7phwKZsVm3fyx38Xj3Ia0LVp0OXELDPjgf6dSU6M585xsfGhq9IHxdLsPP70n0Wc17Eh/bqoP/VYXZ7ZjNPbHMcj781nzdZdQZcjEVJU5Nz5xmwS4+N4cGDV2KulIjVITeLefh3JWrmVf05eEXQ5R1Wpg6KoyLlz3GySE+MZMaCzXtzlwMx4eFDxWo13vzknppclkJJ7ddoqpi7PYdhFHavMRkQVbVD3pvRpl8aj/17I6pzo/tBVqYNizDeryFq5laEXdaBBql7c5aVZ3RrceUF7vli8mbdmai2oym5T7h7+8P4CTj2xPpdnVt1l+MubmfHQwHTizKJ+Ac5KGxSbdhS/uHu3rs9lPfTiLm/XnNySrs3r8MC787QceSV3/7vzyC8s4sEB6nIqb03qJPO789ry+aJs3pm9/ugPCEilDYoR785nT0ERIwaqy6kixMcVd0Ft311QaTZnke/7dOEmJs5ez619T+T441KCLqdSuq738WQ0q83wd75j+66CoMs5rEoZFJ8tyubtWev4ed8TOEELlVWYDo1T+cnprXktazVTl20JuhwpZ7v3FjJswlxOSEvhpjNbB11OpRUfZzw0KJ2tuwp45IPo/NBV6YJiT0Hxi7v1cSnc0qfq7dkbaf93dhua10vm7vFzKs3+wFJs5CeLWbN1Nw8NTKd6gjb1qkidmtTmx6e1Ysy0VXyzIvq2IT5qUJhZiplda2Z/MrOnzOwuM+scieLK4q+fLGZVzi5GDOysF3cEJFeL54H+nVmWvZNnJy0LuhwpJws37OBvny/j8h7NOLl1/aDLqRJuO6cNTeskc8+bc9i7L7qW9wgbFGZ2FfAskA08APyG4lVgB5nZs2YWVf06izbu4LnPlnFp92accsJxQZdTZfRp14CLM5rw1KdLYmamqRxZUZFzz/g5pCYncs+FHYIup8qoUS2BEQM6s3hTHqM+j64VZo8YFGbWCkhz9+vc/d/uvs3d8919gbsPB/4EXB2xSo+iqMi558051EpKYMhFenFH2rB+HUhKjGPIeM2tiHX/+mY101du5Z4LO1A3RYtnRlLf9g24KL0xIz9ZwvIoWlPtiEHh7svdfeT+r83s0Dn7Ke4+qsIqK6WxWavJCr246+nFHXENaiVx1wUdmLIsh3HT1wRdjpRR9o58Hnl/Pr1a1+PS7lqmIwj3XdyR6vFxDJ0QPR+6SnMx+3Uzu93MUs3sMeChiiqqtLJ35PPQe/M5uVU9zZkI0OCTmpPZsi4PvjefLXn5QZcjZTBi4jz2FBRpmY4ANUhN4o4L2vPVki2M/3Zt0OUApQuKU4HjKb5ekefuF1ZIRWXw4MR57C4o1Is7YHGhuRU78/fxkOZWxJzPF2Xz1sx13NJHw8qDdk3PFnRvUYcRE+ezdWfwE1pLExSvAUnAKUCGmT1ZMSWVzheLs5kwcx239DmRExvoxR20Ng1rcfMZJ/DGjDV8vXRz0OVICe0pKGTYWxpWHi3iQnMrcncX8Mj7wX/oKk1QPOHuP3b36e4+EPi0oooqKXcYNmEurY5L4ed6cUeNX551Ii3r12Do+LnsKdDciljw5CdLWLmleFh5UqKGlUeD9o1S+fHpraJiQmu4UU8tzWzA/q/d/atDmnxmZoNLczAzG21mk81s6LG02W/Tjj2s2LKLBwfoxR1NkhJDcys27+SZGNxIvqpZvHEHz32+lEHdm2pYeZT5v7Pb0KxuMkMmzA10bkW4UU8rgbZmNtLM2u3/vpnVMLMfAk8Cn5f0QGY2CIh3995AazNrU5Y2B8vekV/84j5RL+5oc0bbNPp3bcIzk5ZqbkUU2z9nIqV6AkM0ZyLq1KiWwAMDOrMk4LkVYbue3P1RiudLXG5mL5jZ88AfgS3uPtjdS7PGdB9gbOj+h8BpZWljZjeZWZaZZcXhenFHsaEXddTciij3+vTVfLNiK/dc0EG7P0apvu0OzK0Iar/6o16jcPeV7j7C3W909x+5+y/cfWIZjpUC7B/rlQM0LEsbdx/l7pnuntmhaR29uKNYWq3q/51b8caM6BjmJwdsycvn4fcX0PP4etpnIsrdG5pbMeytYPatiOSigHlAcuh+zSMcuyRt/ksDYaPf4JOa06NlXR6cOI+cKBjmJwc8OHE+O/P38aCW4o96DVOTuP38dnyxeDNvz4r8ZmElDgoza2Bmg83sh/tvpTzWdA50JWUAK8rYRmJIXFzxLl479uzjoffmB12OhHy9ZDNvfruWm884gTYNawVdjpTANSe3JCO0WVik960ozRnFB8CJFH+Q338rjQnAdWb2OHAF8J2ZjThKm7J0cUmUadeoFjed0Zpx09cwean2rQjanoJChkyYS8v6NfjlWScGXY6UUHyc8dDAzoHsW1GaoNgRulbx4v5baQ7k7rkUX6yeAvR191nuPvQobbaX5hgSvW49q3jfiiETtG9F0J6etJTlm3cyQsPKY06nJrX50anHM2baKrIiuG9FaYLiCzMbY2YXmNkZZnZGaQ/m7lvdfay7bziWNhJ7tG9FdFiyKY9nJy2lf9cmnN4mLehypAxuO6dt8b4V4yO3b0VpgqIAWAD0BPpS/MlfpMQO3rdimeZWRJy7M2T8HJIS4xh6Ucegy5EySqmewP2XdGLRxjz+/mVkPnQllLShu99fkYVI1TCsXwcmLdzE0AlzeeUnJ2u0TQS9MWMtU5fn8NDAdNJqaVh5LDunY0PO79SIJz5aTL/0JrSoX6NCj1fp9syW6NagVhJ3nt+er5dGzxLKVUHOzr08OHEePVrWZfBJzYMuR8rB7y/pRGJ8HEMjMLeiJHtmPx7681Mz+yR0+9TMPqnQyqTSurpnC7pF0RLKVcHD780vHqI8MJ24OJ3FVQaNaifx2/Pa8vmibN6dvb5Cj1WSmdm/Cf3Z193PCt36uvtZFVqZVFr7963I3V3Aw+9rbkVFm7x0C69PX8NPz2hNu0aaM1GZ/LD38aQ3rc3978xj++6Km1tRmgl3caHd7RLMrK+Z6RUnZbZ/CeWxWWsCX0K5MsvfV8iQCXNoXi+ZX50Vdo1NiUHxoQ9dOTvzebQC51aUaitU4Ezgz8BPgPEVUpFUGfuXUL5nvOZWVJSnPl3KsuydPNC/M8nVNGeiMurctDY3nNKKV6etYvrKrRVyjNIERX13fwdo4+7XcGBNJpEy2b+E8tLsnYz6THMrytv89bk8/ekSBnZrSp92DYIuRyrQb85rS6PUJIaMn0NBYfnPrSjVzGwzmwBMN7MLgR3lXo1UOX3bNeCiLo3566dLWB7QEsqV0b7CIu58Yza1kxMZ1k9zJiq7mtUT+P0lnViwYQejv1xe7s9fmqC4HBju7kMoXgr8ynKvRqqk+/oVL6GsfSvKz/NfLWf2mu3c378T9VKqBV2ORMAPOjXi3I4N+ctHi8r9Q1eJg8Ld97j7jND9WVqHScpLg9Qk7r6wA18v3cKr01YFXU7MW7F5J3/6cBHndmzIRemNgy5HImjEgM5Ui4/jjnGzKCoqvw9dmnAnUeGqns057cTjeGjifNZs3RV0OTGrqMi5843ZVEuIY8QA7TNR1TRMTeLeizvxzYqtvDh5Rbk9r4JCooKZ8cil6QDc9Ya6oMpqzDermLo8hyEXdqBhalLQ5UgALu3elL7t0vjDBwvKbetUBYVEjWZ1a3DPRR34cslmxkxbHXQ5MWfdtt08/N4CTjmhPldqmY4qy8x4eFAXEuPjuOON2eXSBaWgkKhydc8WnHpifR6cOE9dUKVQVOTcMW42hUXOI4O6qMupimtUO4lh/ToybXkOL01ZeczPp6CQqGJmPDKoCwB3v6kuqJJ6eepKvlyymaH9OlT4SqISGy7v0Ywz26bxyPsLWLXl2D50KSgk6jSvV4O7L+zAF4vVBVUSy7LzeOi9+ZzZNo2re7YIuhyJEsVdUOkkxBm3H+MoKAWFRKWDu6DK64JcZbSvsIjfjJ1F9YR4Hr1MXU7yv5rUSWbYxR2ZujyHv31R9tUPIhYUZjbazCab2dAwbRLMbJWZTQrd0iNVn0SXuDjjj5dlkBAfx22vzayQZQkqg2c/W8rM1dsYMaCzRjnJYV3eoxnnd2rEYx8uZO7ask1/i0hQmNkgIN7dewOtzexIy1h2Aca4e5/QbU4k6pPo1KROMg8NTGfm6m389ePFQZcTdeau3c4THy/m4owmXJzRJOhyJErt74Kql1KN//vXt+zeW/oFOCN1RtEHGBu6/yFw2hHa9QL6mdm00BnI97ZqNbObzCzLzLKys7MrplqJGhd1acxlPZrx5KdL+GZFTtDlRI28/H3cOuZb6qdU54H+nYIuR6Jc3ZRqPHZ5Bkuzd/LQe6XfA6ZCgsLMnjuo+2gScCvF60MB5AANj/DQb4Bz3L0nkAhceGgDdx/l7pnunpmWllYB1Uu0+f0lnWhWtwa3/WsmuXsqbnOWWHLvW3NZuWUnTwzuSp0aWstJju70Nmn85LRWZRouWyFB4e43H9R91AcYyYFlyWuGOe5sd9+/p18WoJ1WhJrVE/jL4K5syN3D0PEVvz9wtHtj+hrenLGWX53dhpNb1w+6HIkht5/fjvZl2OUwUl1P0znQ3ZQBrDhCu5fMLMPM4oEBwKyKL01iQfcWdfn1OW14e9Y6XpladRcOXJadx7C35tKzVT1u1Y51UkrVE+IZeVW3Uj/ue9cAKsgE4AszawJcAPQys47A1e5+8Cio4cCrgAFvu/tHEapPYsDP+5xI1sqtDH9nHl2a1aZLszpBlxRRewoKuXXMt1RLiOOJwV2Jj9NQWCm9tg2j9IzC3XMpvqA9Bejr7tvdfd4hIYG7z3X3Lu6eHtr3QuS/4uKMP1/RlbRa1bnl5Rls27U36JIixt0ZOmEu363L5bHLMmhcWxtMSuREbB6Fu29197HuviFSx5TKp25KNZ66pjubduzhN2PLd839aPby1FWMm76GX511Iud0PNJYEJGKoZnZEnO6Nq/Dvf068smCTfz1kyVBl1Phpq/MYfg739G3XRq3ndM26HKkClJQSEy6tldLBnVvyp8/WsTE2euP/oAYtSl3D7e8PIMmdZL5y5XdiNN1CQmAgkJi0v7Zppkt6/Lb12cye822oEsqd7v27uMn/8wiL38fz13Xg9o1EoMuSaooBYXErOoJ8Tx7XQ/qp1Tnp//MYsP2PUGXVG4Ki5z/+9dM5q7dzl+v6kb7RqlBlyRVmIJCYtpxNasz+oZM8vbs48cvfsOOSjJz++H35vOfeRu5t19Hzu6gi9cSLAWFxLz2jVJ58pruLNywg5/+M4s9BaVf9CyajP5yOX//cjk3nHI8N5zaKuhyRBQUUjn0bdeAxy7PYMqyHH415lv2xeiy5K99s4oH3p3HBZ0bMaxfx6DLEQEUFFKJDOjWlPsu7siH8zZy95tzYm6Oxduz1nHXm3M4s20aTwzuppnXEjUitYSHSETceGortu0q4ImPF1Pk8OhlXWLiDfeDuev5zWszOen4ejx7bQ+qJegznEQPBYVUOr8+ty3xccbj/1lEQWERj19RvFNetHpzxhpuHzebjGa1GX19JsnV4oMuSeR/KCikUvrV2W2olhDHI+8vIH9fIU8M7kZSYvS9Ab80ZSXDJszl1BPrM+q6TFKq67+kRJ/o/Zglcox+duYJ/71mcdXfprA5Lz/okv6rqMh5+P35DJswl3M6NGD09ScpJCRqKSikUrvx1FY8c00P5q/PZeDTX7F4446gS2Jn/j5ufnk6z322jGt7teCZa3tE5dmOyH4KCqn0zu/ciH/d1Jvde4u45MmvGDd9TWC1LNq4g4FPf8XH8zdy/yWdGDEgncQovn4iAgoKqSK6Nq/DxF+dRkbz2vzu9Vn8duysiM7idndenbqKS578kpyde3nxRz25/pTjI3Z8kWOhTlGpMhqmJvHKT3rxxMeL+esni/lqyWYeGNCZcyt4f4flm3cyZPwcvl66hdPbHMefrsigQa2kCj2mSHmyWN6oPjMz07OysoIuQ2LQt6u2cvebc1iwYQdntW/AHee3K/eF97bt2stzny9j9JfLqR4fxx0XtOeani20VLgEzsymu3tmidsrKKSqKigsYvSXy3nq0yXk5e+jX5cm/OjU4+navA5mZX8z35i7h1emruKFr5aTl7+P/hlNuOfCDjRI1VmERIeoDQozawiMc/fTj9JuNNARmOjuI8K1VVBIedi2ay/PfraMl6esJC9/H+lNa3NxRmPO69iI449LKdFzbN9VwKRFm3hvzno+mr+JwiLn3I4N+e15bbVEuESdqAwKM6sLjAEauHv3MO0GAZe4+w1m9jzwsLsvPlJ7BYWUp7z8fYyfsYYx01Yzb30uAE3rJNO5aSrtGqXSoFZ1aicXbx60p6CQTTvyWbVlF3PXbWfBhh0UFjnH1azGpd2bcfXJLWhZv2QhIxJp0RoUqYABb7l7nzDtRgIfuPt7ZjYYSHb3Fw5pcxNwE0CLFi16rFy5suIKlyprdc4uPpq/kRmrtjF37XZWbNnJ4f6r1EupRqcmqXRtXoez2jcgo1kdXYOQqFfaoKiQUU9m9hzQ7qBvfeLuw0vQ75sCrA3dzwG+d/bh7qOAUVB8RnHs1Yp8X/N6Nbjx1FbceGrx1wWFReTs3Mv23QUYUC0hjga1krQuk1QJFRIU7n5zGR+aBySH7tdE8zwkSiTGx9EwNYmGuiAtVVC0vRFPB04L3c8AVgRXioiIQIAT7sysI3C1uw896NsTgC/MrAlwAdAriNpEROSAiJ5RHHwh293nHRISuHsu0AeYAvR19+2RrE9ERL4v6pbwcPetwNig6xARkWLRdo1CRESijIJCRETCUlCIiEhYCgoREQlLQSEiImEpKEREJCwFhYiIhKWgEBGRsBQUIiISloJCRETCUlCIiEhYCgoREQlLQSEiImEpKEREJCwFhYiIhKWgEBGRsBQUIiISloJCRETCilhQmFlDM/viKG0SzGyVmU0K3dIjVZ+IiBxeRPbMNrO6wItAylGadgHGuPudFV+ViIiURKTOKAqBK4Hco7TrBfQzs2lmNtrMIhJkIiJyZBUSFGb23EHdR5OA29x9ewke+g1wjrv3BBKBCw/z3DeZWZaZZWVnZ5dv4SIi8j0V8ond3W8u40Nnu3t+6H4W0OYwzz0KGAWQmZnpZTyOiIiUULSNenrJzDLMLB4YAMwKuB4RkSovsKAws45mNuKQbw8HXgJmApPd/aOIFyYiIv8joheL3b3PQffnAUMP+flcikc+iYhIlIi2ricREYkyCgoREQlLQSEiImEpKEREJCwFhYiIhKWgEBGRsBQUIiISloJCRETCUlCIiEhYCgoREQlLQSEiImEpKEREJCwFhYiIhKWgEBGRsBQUIiISloJCRETCUlCIiEhYCgoREQlLQSEiImEpKEREJKyIBIWZ1Taz983sQzMbb2bVwrQdbWaTzWxoJGoTEZHwInVGcQ3wuLufB2wAzj9cIzMbBMS7e2+gtZm1iVB9IiJyBAmROIi7P33Ql2nApiM07QOMDd3/EDgNWHxwAzO7Cbgp9GW+mc0tv0pj2nHA5qCLiBL6XRyg38UB+l0c0K40jSskKMzsuUMK+cTdh5tZb6Cuu085wkNTgLWh+zlA90MbuPsoYFToOFnunll+lccu/S4O0O/iAP0uDtDv4gAzyypN+woJCne/+dDvmVk94K/ApWEemgckh+7XRBfbRUQCF6mL2dWA14G73X1lmKbTKe5uAsgAVlRwaSIichSR+sT+Y4q7kYaY2SQzu9LMOprZiEPaTQCuM7PHgSuAiUd53lHlX2rM0u/iAP0uDtDv4gD9Lg4o1e/C3L2iCikTM6sLnAt87u4bgq5HRKSqi7qgEBGR6KKLxSIiElbMBoVmcBcrzaz3qsLMGprZt0HXEQ3M7GkzuzjoOoJkZnXN7D0zywoN3a+SQv8vvjjo6xK/h8ZkUGgG9/8o0az3KuYxDgyzrrLM7HSgkbu/E3QtAbsOeCU0h6KWmVW5uRSha78vUjxXrdTvoTEZFBx+BneV5O5Pu/t/Ql+Gm/VeJZjZWcBOikOzyjKzROBvwAoz6x90PQHbAnQ2szpAc2B1sOUEohC4EsgNfd2HUryHxmpQHDqDu2GAtUSFEsx6r/RC3W7DgLuCriUK/BCYBzwK9DSzWwOuJ0hfAi2BXwHzKX7PqFLcPdfdtx/0rVK9h8ZqUGgG90EOmvX+o6BrCdhdwNPuvi3oQqJAN2BUaIj5y0DfgOsJ0n3Az9x9OLAAuDHgeqJBqd5DY/UNVjO4Q0ox670qOAf4hZlNArqa2d8DridIS4DWofuZQFV+bdQF0s0sHjgZ0JyAUr6HxuQ8CjNLBb4APgYuAHodclpVZZjZLcBDwKzQt55x99cCLCkqmNkkd+8TdB1BMbNawPMUdykkApe5+9rwj6qczKwn8ALF3U+TgYHunhdsVcHY//+itO+hMRkUoBncIiLHojTvoTEbFCIiEhmxeo1CREQiREEhIiJhKShERCQsBYWIiISloBARkbAUFCLlzMxOM7PXzSwutDpn86BrEjkWGh4rUgHM7AVgN7DS3f8QdD0ix0JBIVIBQktZTwbStPaUxDoFhUgFMLMJwGwgxd1/G3A5IsdE1yhEypmZXQasc/d7gU5m1j3omkSOhc4oREQkLJ1RiIhIWAoKEREJS0EhIiJhKShERCQsBYWIiISloBARkbD+H6cFEomc73z2AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot()\n",
    "ax.plot(x, np.sin(x))\n",
    "ax.set(xlim=(0, 10), ylim=(-2, 2),\n",
    "       xlabel='x', ylabel='sin(x)',\n",
    "       title='A Simple Plot');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 分析年度乘客总量变化情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pd version =  1.1.3\n",
      "np version =  1.19.2\n"
     ]
    }
   ],
   "source": [
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "print('pd version = ',pd.__version__)\n",
    "print('np version = ',np.__version__)\n",
    "\n",
    "# 防止中文乱码问题\n",
    "# 设置绘图的全局参数\n",
    "plt.rcParams['font.family'] = ['SimHei'] #用来显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  #用来正常显示符号\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>passengers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1949</td>\n",
       "      <td>January</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1949</td>\n",
       "      <td>February</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1949</td>\n",
       "      <td>March</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1949</td>\n",
       "      <td>April</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1949</td>\n",
       "      <td>May</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year     month  passengers\n",
       "0  1949   January         112\n",
       "1  1949  February         118\n",
       "2  1949     March         132\n",
       "3  1949     April         129\n",
       "4  1949       May         121"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data  = pd.read_csv('flights.csv',index_col=0)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(144, 3)"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape # 表示144 行，3 列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>passengers</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1949</th>\n",
       "      <td>1520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950</th>\n",
       "      <td>1676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1951</th>\n",
       "      <td>2042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1952</th>\n",
       "      <td>2364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1953</th>\n",
       "      <td>2700</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      passengers\n",
       "year            \n",
       "1949        1520\n",
       "1950        1676\n",
       "1951        2042\n",
       "1952        2364\n",
       "1953        2700"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 按照年份分组，passengers 求和\n",
    "# sql 语法： select year,sum(passengers) from flights group by year\n",
    "# pandas 语法: pandas group sum 完成上述的操作\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "打印绘制的线性图的x和y轴的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x =  [1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960]\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y =  [1520 1676 2042 2364 2700 2867 3408 3939 4421 4572 5140 5714]\n"
     ]
    }
   ],
   "source": []
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过plot 函数会绘制图表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '每年中国游客数')"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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piIgUQ8bOLC5+YTpLN+7k6Yv68NPDmkUdUqmkpCIish8bd2Ry0fPTWJmxm1HD+jC0c9OoQyq1lFRERPZh3bY9XPjcNNZty+SlS/sxuEPjqEMq1ZRURESKsGrzbi54fipbdmUz5or+9GvbMOqQSr24H51pZjXMrFXM+yFmdqOZ9UlsaCIi0dmwK49zn53Ctt3ZvHrlACWUYoqrp2Jm3YCPgLeB68zsIuBlwIAcM/uZu3+Y+DBFRJIvJzePr9duZ/KydEZNz8QqV+G1qwZyeMt6UYdWZsR7+esBYDvwfPj+t8C7wJ3Ai8DvASUVESkT8vKcxRt2MHlZBlOWpTNt+WZ2ZOUA0LpOJZ67YhCdD64TcZRlS7xJZSBwr7t/aWaNgG7Ale4+N3z0/J8THqGISIK4O8vTd32fRKYu38zmXXsBaNvoIE7r0YJB7RsxqF0j5s+aooRSAvEmlerAnvDrXkAuMCd8nwN4YsISEUmM1Vt2h0kkg8nL0tmwPQuA5vVqMLRzEwa3b8yg9o1oWb9mxJGWD/EmlSXA2Wb2d+BiYL67Z4VlJwDLEhmciEi8Nm7PZMry/CSSwXebdwPQqFY1BrVvxOD2jRncvhFtGh1UYdc8SaZ4k8pfgFeAreH7GwDMbCJwJDAiYZGJiBTDll17mfZtkEAmL8tg6cadANStUYUB7Rpx2ZC2DG7fmE7NaiuJpEBcScXdx5rZbuBYYJK7jwuL9gL3ufvTiQ5QRCTWjsxsZqzYzOSlGUxZnsGCddtxh4OqVaZf24ac06cVg9s35rAWdalcwdaHLw3invzo7uOB8QW2/TRhEYmIFJCTm8dzn3/LRwvW89XqbeTmOdWqVKJP6wbcdHwnBndoxBGt6lO1ctxT7yTBNKNeREq1rbv3MuK12Uxamk6v1vW59pj2DG7fiN5tGlCjauWow5MClFREpNRaunEHV748kzVb9/DQWUfwy36HRB2S7Ee8M+pfBz7T2ImIJNt/Fm3g+tfnUKNqJV6/aiB99ZiUMiHeC5A9gQFJiENEBAgmKD4zcRlXvDyTNo0O4u0RRyqhlCHxXv4aB1xjZlXdPTsZAYlIxZWZncvtb81j/Ow1nHpEcx45uwc1q2ncpCyJt6dyP7AKGGdmtZMQj4hUUBu2Z3LuqKmMn72GW07oxJPn91JCKYPi7ancCnxCMMlxsZm9AuyOKXd3vy9RwYlIxTBn1VaGj5nJzqwcnr24Dyd2OzjqkKSE4k0qd8d8fRBBkonlgJKKiBTb+Nmr+e0/59G0TnXeumIwXQ6uG3VIcgDiTSqHJiUKEalwcvOchz5cxLMTlzPg0IY8fVEfGtaqFnVYcoDifUzLymQFIiIVx47MbG54Yw7/WbSRCwe05u6fd9Ns+HJCkx9FJKVWpO/iyjEzWZG+i/vOOJyLB7aJOiRJoLiTSrg41zCgB/AIwToqVwCPu/uqxIYnIuXJpG/S+dVrX2IGY67oz+D2jaMOSRIs3hn1rYFpQDOCQfkxwE7gZuBCMzvS3ZcnPEoRKdPcndGTV/DHdxfSoUltnhvWl9aNDoo6LEmCeC9iPgTkAecCBuDu0wmWGc4B/pTQ6ESkzNubk8dt/5zHPRMWcGznpvzzusFKKOVYvJe/jgb+BvwndqO7Tzezx4FbEhWYiJR96TuzuPbVWcxYsYURx3bgpp92opLWOCnX4k0q9YBNRZTtBTTLXkQAmL92G8PHzCJjVxZPnN+Ln/VoEXVIkgLxXv6aDZxacKOZVQEuAeYU90BmdoeZpcW8P9fMlplZhpk9YGaVYsoamNmbZrbdzGaZ2REFjlVkXRFJvffmrePsp6eQ584/rh6shFKBxHvyfRD4BfASwUD9cWZ2C8HgfU/ggeIcxMwOB+6KeT8EGAv8heApyIP44Xr3rwPtwu2PAW/nP3usGHVFJEXy8pzHPl7CdWO/pEvzOrw9YgjdW9WLOixJoXgnP04ws2sIBuwNuD0s2gFc4+7v7O8YYa9mNPBNzOYbgU/c/clwn5EEieJxM+sGnAgMcvf5wHwzuxA4A3h1X3XjaZuIHJhdWTncPG4uH8xfz9l9WvGnXxxO9Sp6IGRFE/dlIncfBbQkONFfBJwEtHT354p5iNuBXIKeRb7ewAcx72cBbcI5Mb2BrQS9oXxT+N+6LvuqKyIpsGrzbs56ejIfLVjP70/tysNnH6GEUkGVZJ7KZnffCXwc74eFYyE387/LVPnqAcvy37h7rpntAFqFZcvd3WP230qQTPZXN6OQGIYDwwGaNWtGWlpavM2IxM6dO8tMrPEqz22D8t2+nTt38uxbn/Lk7ExyHH7Tuzodcr9j4sTvog7tgJXn7xskr33x3v31DXAVwaTHHwnHV84CLnD3bwuUVQVeBu5098VmFptUcoDMAofbTXA32b7K9lf3R8Ke1iiAvn37+tChQwvbrdRJS0ujrMQar/LcNijf7bv7lY95dWEWrRvW4vlL+tKuSfm5AbQ8f98gee2L9/LX58BhZvaEmf3azL7v35pZU4KB+jbAbwup+zuCnsOThZSlAwUXUKgLZBVRVi8s219dEUmCvDzn3gkLGD1/L4M7NGb8r4aUq4QiJRdvT+Xl8AXB3V/9gYvD9z0IktTfCG4vLugSgse7bDEzgGpANTPbCowHjgReATCzTgSJYTWwnmCMpKW7rwmP1ZdgBUoIxleKqisiCZaVk8st//iKCXPX8tM2VXjm0n5U1oRGCcXbUxkBTCDoKdwCnG9mzcOyBgSJZh3BeEZBRwGHEdx63BP4AzAz/HoswbPDeoVzTO4CZrr7endfDUwC7jezymbWAzgTyL/TrMi6cbZNRPZjR2Y2l4+ewYS5a7n95C5c0KWaEor8QLw9lW7As+6+w8zGAY8CbQkSSW2CS055BKtC/kCYHL5nZulApruvAFaY2dPAdGALUJngrrJ81xLc4bWBoBfyhru/Gx43bT91RSQBNu3I4tKXprNo/Q4ePacHZ/VpRVqaHkwuPxRvUlkLDAFeDP/NA/IH5DsRjJlU44fr1hfK3UcTzFfJfz/SzF4AOgNfuHt6TNlCM+sKHENw99m0Ascqsq6IHLiVGbsY9uJ0Nm7P4vlhfTm2S9OoQ5JSKt6k8izwsJn9HGgI7AJGmNlu4DqChHIE/xvviIu7LwIWFVG2G3i/JHVFpOS+XrONS1+aTk6eM/aqAfRu3SDqkKQUi3dG/aNmthc4DpgIvA38kyCRTCK4VfcVfjixUUTKqC+WpjN8zEzqH1SNNy7vT4emusNL9i3ulR/d/QngiZhNvczM8icnmtkGYHKC4hORiEyYu5abxs2hXePavHx5fw6uVyPqkKQMSMga9bGz3d39k0QcU0SiM/qLb7nnnQX0a9OQ54b1pd5BVaMOScqIkqxRfzrB5a/C+sHu7lcccFQiEgl35+EPF/NU2jJOOKwZj5/fixpV9QwvKb54n/11J3A34VLChXBASUWkDMrJzeOO8fMYN3M15/dvzX2nd6NKZS1NJPGJt6cyHJgPXAh8XeAhjyJSRu3Zm8uI177k00Ubuf64jvzm+I6ET74QiUu8SaU+8Ed3n5eEWEQkAlt37+Xy0TOYvWor951xOBcPbBN1SFKGxZtUpgC9khGIiKTe2q17GPbidL7L2M3/XdCbU7o3338lkX2IN6lcD0w0s+XAY+6ek4SYRCQFlmzYwSUvTmdnZg4vX96fQe21rp0cuHiTyq0EYyr3A9eb2ZcEj57Pp7u/RMqAWSs3c/nomVSrUom/Xz2Iw1rUjTokKSfiTSqXxnzdInzF0t1fIqXcJws28KvXvqRF/ZqMubw/hzT80fNfRUos3se06P5CkTJs3IxV3D5+Ht1a1OWlS/vRqHb1qEOSciYhM+pFpHRzd55KW8bDHy7mqI6NeeaiPtSqrl9/SbySzKhvBAwjWOnxEYI14q8AHnd3La4gUsrk5Tn3vrOA0ZNXcEbPFjx0dg+qVdFFB0mOeGfUtwamESwL7MAYYCdwM8Hqi0e6+/KERykiJZKVk8tN4+by7lfruPLIQ7njlK5U0kqNkkTx/rnyEMHCXOcSPqrF3acDAwl6LH9KaHQiUmI7MrO57KUZvPvVOu44pQu/P+0wJRRJungvfx0N/A34T+xGd59uZo8TrFsvIhHbuCOTy16a8YOlf0VSId6kUg/YVETZXgp/crGIpNCK9GDp3007snj+kr4c21lL/0rqxHv5azZwasGNZlYFuASYk4CYRKSEvl6zjbOfmcyOzGxeu2qAEoqkXLw9lQcJlhCuSjBQf5yZ9QbOB3oCpyc0OhEpttilf8dc0Z/2TXThQFIv3smPE8zsGoIBewNuD4t2ANe4+zsJjk9EiuH9eeu44Y05HNq4lpb+lUiVZI36UWY2FhgMNCF49tdkd9+Z6OBEZP9en/4dvxs/j16tG/DiJf209K9EqkRTat19F/BxgmMRkTi4O09PXMZDHyzmmE5NePqi3hxUTbPkJVolmVFfA2js7qvD90OAfsDn7j4rwfGJSCHcnT+/t5DnPv+Wn/dowSPnaJa8lA5x/RSaWTdgGXBH+P4i4HPgMWCKmZ2Y8AhF5AdycvMY+eZXPPf5t1wyqA1/PbenEoqUGvH+JD4AbAeeD9//FniHYDXIecDvExeaiBSUmZ3LNa9+yZuzVnPj8R25++fdNEteSpV4k8pA4Cl3/zJ8sGQ34E/uPhd4Aeie6ABFJLA9M5tLXpzOp4s2cO/p3bjx+E6YKaFI6RLvmEp1YE/4dS8gl/9NeMwhmLsiIgmWvjOLS16czuL1O/jruT05vWfLqEMSKVS8PZUlwNlmVge4GJjv7llh2QkE4y0ikkCrNu/mnGemsGzTTp67pK8SipRq8fZU/gK8AmwN398AYGYTgSOBEQmLTERYsmEHF78wjT17cxl75QD6tGkYdUgi+xTvjPqxZrYbOBaY5O7jwqK9wH3u/nSiAxSpqGat3MLlo2dQvUolxl0ziC4H1406JJH9KsmM+vHA+ALbfpqwiESEiUs2cc0rs2hatzqvXjGAQxoeFHVIIsWi6bcipcyEuWu5adwcOjStw5jL+9OkTvWoQxIptrhnTJlZDTNrFfN+iJndaGZ9EhuaSMXzytSVXP/GbHod0oA3hg9UQpEyJxEz6j8jzhn1ZnaQmQ00s85xxitSLrk7j3/6DXf+62uO69KUMVf0p15NPRhSyp5EzKh/lzhm1JvZT4DvgKeA6Wb2jplVDsvONbNlZpZhZg+YWaWYeg3M7E0z225ms8zsiALHLbKuSGmWl+fcM2EBj328hDN7t+Tpi/pQo2rlqMMSKZGUzqgPH0Y5FrjU3XsDHcNjnh4+mHIswW3LA4BB/PAW5deBduH2x4C3zax2eNz91RUplbJz87hp3BxGT17BFUceyiNn96BqZf09JGVXvD+9Bzqjvh5wT/5iXu6+EVhFsC7LjcAn7v6kuy8FRgK/hu8vu50IXOfu8919LLAQOCM8bpF1RUqrPXtzufqVWfxrzlpGntiZ35/aVc/xkjIvpTPq3X2Duz+T/97MzgHaAxOA3sAHMbvPAtqEPaLeBBMup8WUTyHolbCfuiKlzrY92Vz8wjT+u3gjf/rF4fzq2A56jpeUC5HMqDezasA3QGvgIndfa2b1iElK7p5rZjuAVgQ9nOXuHtsT2kqQTAjLi6qbUeCzhwPDAZo1a0ZaWlpxQo7czp07y0ys8SrPbYMft29rZh6Pzspi7c48ru1RnZZ7viUt7dvoAjwA5fl7V57bBslrXyQz6t19r5kdDVwJPGtmcwgun2UW2HU3UHs/ZRSjPPazRwGjAPr27etDhw4tTsiRS0tLo6zEGq/y3Db4YftWZuzi4hemk5FljL68P0d1bBJtcAeoPH/vynPbIHnti2xGvbuvBO4MB9kvJljr/uACu9UFsoooqxeWsZ+6IqXCwnXbGfbidLJz83jtqoH0PKR+1CGJJFxKbzMJJ0q+UmBzNkFPYwrBJbT8fTsRJIbVwFSCMZLYx7P2JRjkZz91RSI3Y8VmfvnsFKpUMt68ZpASipRbJVmjvhLQCWhaoKgmcJq77+uuq4XAyWZ2P/B/wNHAUcCtQAPgHTN7BpgL3AXMdPf14edOAu43s8uAw4EzgbPC447dV12RKM3ZmMMzn06jRb2avHLlAFrWrxl1SCJJE1dSMbNDCe7U6rqP3YpMKu6+2cxOAf4GXE9wN9mZ4TwXzOxpYDqwBagMnBRT/VqCO7w2EPRC3nD3d8Pjpu2nrkjKZWbn8taXa3h8dhbdWtRj9GX9aFRbj12R8i3ensrDQCOCu7zuILjF93XgcuA4gt7DPrn7dILJiYWVjTSzF4DOwBfunh5TttDMugLHAJvdfVpx64qkyor0XaQt3kjakk1MXZ5BZnYeXRtW4rWrBlCnhh67IuVfvEllCPCIuz9tZocAg9z9n2b2b+BL4HTgvQMJyN0XAYuKKNsNvF+SuiLJsGdvLlOXZ5C2eCMTl2xiRcZuANo2Oojz+rXmmM5NyF0zXwlFKox4k0pt/jdHZTrBJSncPdvMxgA3AVcnLDqRUsbd+TZ9F2mLN5G2ZBPTlmeQlZNHjaqVGNSuEZcNOZRjOjWhbeNa39dJW7cgwohFUivepLIYOCdMIDOAemZ2uLt/TfD4ljqJDlAkarv35jBlWUaYSDayanPwpKJ2TWpx4YA2DO3chP6HNtRDIEUo+Yz6l939AjObC7xuZuOBK4CvEh2gSKq5O8s27SRt8SYmLtnEtOWb2ZubR82qlRncvhHDj2rH0M5NtRqjSCFKMqO+CsHzugCuI7gb7PfALuD2xIYnkhq7snKYvCwYG0lbvIk1W4PeSIemtRk2qA1DOzel36ENqF5FvRGRfSnJjPqXY76eYmZtCO64Wubu2xIZnEiyuDvfbNz5fRKZsWIz2blOrWqVGdyhMdcd255jOjWhVQP1RkTiUeykEj7wsXr4uPrvufsugju/REq9WSu38Oas1UxcvJG124LHxXVqVpvLhhzK0E5N6Nu2IdWqaD0TkZLab1Ixs9OB+wl6I5jZFuBJ4F53z0tueCKJsXrLbh54fxHvfLWO2tWrMKRDI359XEeO6dSEFprhLpIw+0wqZnYy8BawmWA2+26gB3AnwQMdf5PsAEUOxK6sHJ6ZuIxRny0H4PrjOnLNMe04qFrcV35FpBj295v1O4J1Twa5+xb4/tlfLwHXmdndGkeR0igvzxk/ew0PfbiIDduz+HmPFvz25C567pZIku0vqfQiWCdlS/4Gd88zs78SPK7+MIInBIuUGrNWbubeCQuYu3obPVrV46kLe9OnTcOowxKpEPaXVGpS+OPjV8eUi5QKa7bu4cH3F/HvuWtpWqc6j57Tg1/0aql130VSqDgXlnML2ZY/QO+FlImk1O69OTwzcTmjPluGO/z6Jx245pj21KqucRORVCvOb92fzWxkgW2VCRLKs2a2M2a7u3ufhEUnsg95ec7bc9fw4PuLWb89k9OOaM5tJ3fR3BKRCBUnqbQJX4XpUOC9ei6SEl9+t4V7JyxgzqqtdG9Zjycv6EXftho3EYnaPpOKu2sWmJQqa7fu4aEPFvGvOcG4ySPn9OBMjZuIlBq66Cxlwp69uTz72TKembiMPIdfHdue64Z20LiJSCmj30gp1dydf89dywPvL2LdtkxOPaI5t53URU8IFimllFSk1Jqzaiv3TJjP7O+2cnjLuvztvF70P1TjJiKlmZKKlDrrt2Xy0AeLeGv2GprUqc5DZx/B2b1badxEpAxQUpFSY8/eXJ77fDlPpy0j153rhrbnumM7UFvjJiJlhn5bJXLfj5u8t5C12zI5pfvB3H5yV42biJRBSioSqdnfbeFP0zJZunU2hzWvy2Pn9mRgu0ZRhyUiJaSkIpFYkb6Lhz9czLvz1lG3mvHgWd05u88hVNa4iUiZpqQiKbV5114e//Qbxk5bSZVKlbjhuI50sTWc3K911KGJSAIoqUhKZGbn8sKkb3kmbRm79uZwbr/W/Ob4jjStW4O0tLVRhyciCaKkIkmVm+e89eVqHvt4Ceu2ZXJ816bcdnIXOjStE3VoIpIESiqSNBOXbOL+9xayaP0OerSqx180CC9S7impSMLNX7uNB95fxOffpHNIw5o8cX4vTjuiOWYahBcp75RUJGHWbN3Dox8uZvycNdSrWZU/nHYYFw5sTfUqlaMOTURSRElFDti2Pdk8lbaUl75YAcDVR7fn2qHtqVezarSBiUjKKalIiWXl5PLq1O944j/fsG1PNr/o1ZKbT+hMy/o1ow5NRCKipCJxc3fe+WodD324iFWb93Bkh8bcdnIXDm9ZL+rQRCRiSioSl6nLM7j/vYXMXb2NLgfXYczl/Tm6U5OowxKRUkJJRYrlmw07ePCDRXyycCPN69XgkXN68IteLfVYFRH5ASUV2aeN2zP5yydL+PuMVdSqVoVbT+rM5UMOpUZV3dElIj9WKdUfaGa9zWy6me01s41mdltM2blmtszMMszsATOrFFPWwMzeNLPtZjbLzI4ocNwi60r8dmbl8NjHSzjm4TT+MXM1wwa1JW3kUK4b2kEJRUSKlNKeipnVBd4Fngd+DgwCxpnZl8AuYCxwI/AB8AIwAng8rP460DSs0xN428y6u/tOMxuyn7pSTLl5zt9nrOKxj5eQvjOLU7s3Z+SJnWnbuFbUoYlIGZDqy1+HAa+4+53h+/FmNgcYABwBfOLuTwKY2UiCRPG4mXUDTgQGuft8YL6ZXQicAbxKkEwKrZuidpUL89du447xXzN31Vb6tW3Ac8P60Kt1g6jDEpEyJKVJxd2nAlPz35tZdaADsBi4FHgiZvdZQBszawT0BrYC02LKpxAko1fD8kLruntGwhtSzuzKyuGvnyzhxS9WUL9mVf56bk9O79lCj1URkbhFPVB/E7AF+BfwFLAsv8Ddc81sB9AKqAcsd3ePqbuVIJkQlhdV9wdJxcyGA8MBmjVrRlpaWkIblCw7d+5MSqxzNubwyoK9ZGQ6x7SqwjmdqlB72zdMnPhNwj+rKMlqW2lRntuntpVdyWpfZEnFzHoDfwBOd/e9ZpYDZBbYbTdQG9hXGcUo/567jwJGAfTt29eHDh16AK1InbS0NBIZ6/ptmdz97/l8MH89nZrV5plLu9OvbcOEHT8eiW5baVOe26e2lV3Jal8kScXMGgNvAg+6+0fh5nTg4AK71gWyiiirF5btr67EyM1zxkxZwaMfLSE7N4+RJ3bmqqPaUa2KbpYTkQOX8qRiZgcRXO6aDdwTUzQFOBJ4JdyvE0FiWA2sJxgjaenua8L9+wKrilFXQl+v2cYd4+fx1eptHN2pCfed3o02jXRXl4gkTqpvKTZgHFAH+AVQKxwMzia4W+sdM3sGmAvcBcx09/Vh3UnA/WZ2GXA4cCZwVnjofdat6HZm5fDYR0sYPflbGtaqzuPn9+JnWt9ERJIg1T2V7sCp4dcbY7a/7O6XmtnTwHSCwfvKwEkx+1xLMAdlA0Ev5A13fxfA3dP2U7fC+mj+eu7693zWbcvkwgGtufWkLnokvYgkTapvKf4KKPLPY3cfaWYvAJ2BL9w9PaZsoZl1BY4BNrv7tOLWrYjWbt3DXf+ez8cLNtDl4Do8eUFv+rTRnBMRSa6obyn+EXdfBCwqomw38H5J6lYUObl5jJ68gsc+XkKeO7ed3IUrjjyUqpU1EC8iyVfqkoqU3Fert3L7W/OYv3Y7x3Zuwr2nH84hDQ+KOiwRqUCUVMqBHZnZPPrREsZMWUHj2tV56sLenHz4wRqIF5GUU1Ipw9ydD75ez90T5rNxRxYXD2zDLSd2pm4NDcSLSDSUVMqo1Vt2c9fb8/l00Ua6Nq/Lsxf3pech9aMOS0QqOCWVMiY7N4+XvviWv3wcPJvr96d25dLBbamigXgRKQWUVMqQ2d9t4Y7xX7Nw3XaO79qUu3/ejVYNNBAvIqWHkkoZsHnXXsYsyOK/H06mWZ0aPHNRH07s1kwD8SJS6iiplEKZ2bnMWrmFSUvT+WJpOvPWbAOHS4e05eYTOlO7ur5tIlI66exUCuTmOQvWbv8+icxYsZmsnDyqVDJ6ta7PDcd1pNGe1Vz8s25Rhyoisk9KKhFwd77bvPv7JDJ5WQZbd2cD0LlZHS4c0IajOjam36ENv++VpKWtjTJkEZFiUVJJkYydWUxelsEXS9OZtDSd1Vv2ANC8Xg2O79qMIzs0ZnCHRjStUyPiSEVESk5JJUn27M1l+orNQRL5Jp0F67YDUKdGFQa1a8Two9sxpENj2jWupQF3ESk3lFQSJCc3j3lrtn3fE/ly5Vb25uZRrXIlerepzy0ndGJIh8Z0b1lPc0pEpNxSUikhd2d5+q7veyJTlmewIzMHgMOa1+XSIW0Z0qEx/do24KBq+m8WkYpBZ7sS+M+iDfxu/Nes25YJQMv6NTm1e3OGdGjM4PaNaFS7esQRiohEQ0mlBJrVrUGv1vUZ0aExR3ZoTOuGB2lcREQEJZUS6daiHk9d2CfqMERESh2NGIuISMIoqYiISMIoqYiISMIoqYiISMIoqYiISMIoqYiISMIoqYiISMIoqYiISMKYu0cdQ2TMbBOwMuo4iqkxkB51EElSntsG5bt9alvZdSDta+PuTQorqNBJpSwxs5nu3jfqOJKhPLcNynf71LayK1nt0+UvERFJGCUVERFJGCWVsmNU1AEkUXluG5Tv9qltZVdS2qcxFRERSRj1VEREJGGUVCThzKyymb1nZpfGbKtrZs+a2XdmttHMnjaz+jHld5qZF3idFpaZmT1oZhlmlm1maWbWKfUtS3zbChy7oZmtM7OhqWhLIZ+fzLa9ZWZjU9OSwiXh57Kumf3TzLaa2TYze9vMmqe+ZaWLkkoEkvHLa2bnmtmy8MT7gJlF8r01sxrAK8DJBYpeAQ4HjgeOBfoC42PKBwI3Ag1iXh+EZSOB04GfAYcCWcDoZMS/L0lqW6wngYMTGnQxJbNtZnYhcHS4XySS1L6HgTygOzAAqA48l5QG7EdJzikx+/U2s11m1q3A9pKdU9xdrxS+gBrAa4ADl8Zsfxv4AugEdANmAP+NKX8XuAGoH/OqEpYNAXKAEUAHYCJwfUTtewl4PmzLpeG2ZgS/fL1i9jsh/D9oBBiwGTisiGP+rUDdU4Hc8tC2mDpnAOsJJqMNLS9tA5oDGcDFUfw8Jvnn8ivg1Jj3FwFLI2hbic4p4T7VgHnAPQW2l/icEtk3uaK+kvTD/Q/gg5j3/YFvImpfh/DftJj2dQvb0iBmv5+E2+oCXYFcYC6QCSwEztvHZ9wKLCgvbQu/x+sJemIriCapJKtt/waWAhcDJwJVy8vPJUFv+V2CmemtgEnA3yJoW9znlJht9wMLgGoFjlnic4ouf6Xen9z9SiA7ZltjgsSxImZbTvhvNtAFqAe8bmaZZrbQzM6L2bc3P7zkMAtoY2aNEh38/rj70kI2Lwe2AL+M2TYc+NzdtxNcPlgM/AZoR/AL8qqZdS14oLD7fjPwl8RGvn9JbNtTwLvuPiEpgRdDMtpmZvmXLL8B2gB/AKaYWd1ktaMoSfre3Urwu7cJWEVw+euOpDRg30pyTsHM+hNcWn4bON/M2sbsW/JzShR/Nej1o7+YahL0RK6OKX8D+Cz8+pcEf038BGhBcFLNAbqG5enAzwocPwPoURraF74/jeCX773wB9SB0/ZR/zPgvkK2jyPoilcqD20Dzib4xa8Tvl9BBD2VJLXtE2Ay/5u6UJXgJH1nOWnfPwjGUBoCrQl6Le+XhrYV45xiYXs3AQ8QXGLeHFO/xOeUKkjk3H2PmQ0DXgr/umtG8JfCz8LycQQn03yPhvtdANxJkGAyCxx2N1A72bEXl7u/Y2YtCa7vjgLS3P2dfVRZS/CL+j0zuxk4Cujt7nlJCzZOJW2bmTUhGJw/z913pCDUuB3g9601MNrDM5K7Z5vZXIKed6lwAN+7esBZQH0PejWbzewmYJGZtXH3SB9Uu79zCsGYSW/gZHf/AMDMvgT+z8z+zgGcU3T5q5QIf5BbEnSps4jvlzedH981VDc8Tqnh7nsJ/oLqR3DTAQBm9rCZjYh5X4XgbpqlMdvOBO4BznD3dSkLuphK2LZTgKbAv8LbUrcSfE/fMbOnUhj+Ph3A920lUKvA4doCa5IZb7xK2L5KBH/tx/7eNQv/rZzsmItjP+eU1uG2D2OqzCD4frXiAM4p6qmUIu6+18zyf7j75G83s4eBle7+ZPg+/4f7xXCXKcCRBLdHYsEcjrrA6tRFX2wPA0+7+1cx22YAT5rZt8BGgl/shsALAGY2BHgduAaYb2b5fy3tyv8ruJSIt23bCS7lxZoE3EJw6ag0ifv7RjCQ/biZfQ58TXB3VC/g8lQFHYe42ufuW8Je1ygzG0Xw+zYSmO3uy1Mce5GKOqcQJPzKBHeO7Qm3tSW4MWE9B3JOier6X0V/UeDaboHtjxfY9kuCH+pTwx+OV4FtQIuwfCiwk+AXthIwFphR2toXtmMDUK+Q/W/lf7fUvk/MtVvgLYJr3QVfbct62wrZdwWlaEzlQNsGXE0wHpgJLCHoaZaXn8sOwDth2R7gI+DQ0tS2mO0FzylVCO5mG02QTPoR3Fr8elhe4nNKZN/civ5Kwi/vwwR3dWwkGFDrF3Ub9dJLr9S9SnBOaQ28STBAv43gakDdmPISnVP0QMlyxMy6AJ2BL9y9PK9YJyIpUJJzipKKiIgkjO7+EhGRhFFSERGRhFFSERGRhFFSEUkQM/tVuCTBsELKXjKzXDM7PIrYRFJFA/UiCWJm1QjmYmQSPFE6L9zeluChiv9w9wuii1Ak+dRTEUkQDx73cR/BLZjnxhTdRvBIj7sjCEskpdRTEUmg8BE6CwmekdSd4KnSy4HX3P2yKGMTSQX1VEQSyN1zCB582Y3gKba/Jeil3Bu7n5kNMbOPzGy7maWHS8F2L3g8MzvJzD4PHziZbmYfmlmvQvZzMxsdLiv7GzOba2aTk9NKkaKppyKSYOFa3vMIHtjXGnjZ3a+NKT+FYGGkyQRrXNQkeFhmS6Cvuy8M9/sJwfOk5hA8pLEawfKudYHO7r415phO8PC/hgTrwb8LLHL3e5LYVJEfUVIRSQIzO4dgDZwsgqVsV4fbjeDR6dsJltfNXxemI0GSedLdfx3u+2uChdmucfcN4bZTCBLGqe7+XsznOcF6F18DJ7n7lqQ3UqQQSioiSRAmjzyClfaOidneiWD1w6J87u5HFzhWY4KlDvoSLMzWCbjM3UfH7OMEd5118YgXiJKKTeupiCSBu3uQVyj4V1uT8N/RBI8TL2h7/hfhw/yeJVjtcg/BJbXpBEmlMBOUUCRqSioiqZX/pNc97v6DhbjMrGeBff8F1CMYI5ni7rlm1pdgsavC7E5gnCIloru/RFJrCfAtcEa4zjkAZtaCYKXBO8P3jQjmu3zq7pPChGLAVRHELFJs6qmIpFB4WWwEwd1fs8KlaPcA1wJ7gT+F+2WY2WrgdDMbGZadSzCuAsEdYyKljnoqIikW3rV1LEGP5U6CeS0rgaPd/cuYXU8jGEP5A3AXsIrgbrDcsEyk1NHdXyIikjDqqYiISMIoqYiISMIoqYiISMIoqYiISMIoqYiISMIoqYiISMIoqYiISMIoqYiISML8P6xAkKMk63F+AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘图\n",
    "# 网格设置\n",
    "# 设置标题说明\n",
    "# 设置坐标轴的刻度字体大小\n",
    "# 增加标题说明"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
